Khurram Javed
Artificial Intelligence · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 225 researchers and is trusted by 111 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 35 citations into it; #2,430 of 35,345 by trust here, #7,010 by citations
- Computer Vision and Pattern Recognition — 26 citations into it; #3,084 of 21,575 by trust here, #5,053 by citations
- Meta & Continual Learning — 17 citations into it; #34 of 1,041 by trust here, #161 by citations
- Representation & Self-Supervised Learning — 17 citations into it; #495 of 3,145 by trust here, #1,181 by citations
- Reinforcement Learning — 12 citations into it
- Optimization & Training — 9 citations into it
Whom Khurram Javed trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Chelsea Finn
- Yann LeCun
- Diederik P. Kingma
- Yoshua Bengio
- Marc'Aurelio Ranzato
- Kaiming He
- Arslan Chaudhry
- Ilya Sutskever
Who trusts Khurram Javed overall
- Eden Belouadah
- Hongjoon Ahn
- K. J. Joseph
- Giacomo Spigler
- Timothée Lesort
- B. Ermiş
- Massimo Caccia
- Lucas Caccia
- Oleksiy Ostapenko
- Tyler L. Hayes
Papers from Khurram Javed's perspective
Ordered by how strongly the researchers Khurram Javed trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Meta-Learning Representations for Continual Learning (2019) — 385 citations
- Revisiting Distillation and Incremental Classifier Learning (2018) — 69 citations